MAT185H1 - Linear Algebra
Course: MAT185H1 (Linear Algebra) in MAT department at University of Toronto.
Credit Hours: 38.4 • Academic Level: first-year undergraduate course
Course Requirements: Requires 1 prerequisite course
Prerequisite Chain Depth: 1 level of foundational courses required
Future Opportunities: Unlocks 19 advanced courses for further study
Part of the MAT curriculum at University of Toronto, helping students progress through degree requirements.
Prerequisites for MAT185H1
Courses unlocked by MAT185H1
- MIE375H1 - Financial Engineering
- MIE376H1 - Mathematical Programming (Optimization)
- AER301H1 - Dynamics
- APS360H1 - Applied Fundamentals of Deep Learning
- AER336H1 - Scientific Computing
- AER372H1 - Control Systems
- ECE367H1 - Matrix Algebra and Optimization
- ROB310H1 - Mathematics for Robotics
- ROB313H1 - Introduction to Learning from Data
- CSC413H1 - Neural Networks and Deep Learning
- CSC311H1 - Introduction to Machine Learning
- CSC419H1 - Geometry Processing
- MAT221H1 - Applied Linear Algebra
- MAT301H1 - Groups and Symmetries
- BME344H1 - Modeling, Dynamics, and Control of Biological Systems
- CSC320H1 - Introduction to Visual Computing
- CSC310H1 - Information Theory
- CSC417H1 - Physics-Based Animation
- MAT336H1 - Elements of Analysis
Academic Planning at University of Toronto
Students planning MAT185H1 at University of Toronto should complete 1 prerequisite before enrollment.
Future Pathways: Completing MAT185H1 enables enrollment in 19 advanced courses for further study
This first-year course at University of Toronto integrates into structured degree pathways for MAT programs, supporting timely graduation and academic progression.